Swarm Intelligence and Data Mining: A review of literature and applications in healthcare

被引:5
|
作者
Nayar, Nandini [1 ]
Ahuja, Sachin [2 ]
Jain, Shaily [1 ]
机构
[1] Chitkara Univ, Dept Comp Sci & Engn, Inst Engn & Technol, Solan, Himachal Prades, India
[2] Chitkara Univ, Inst Engn & Technol, Rajpura, Punjab, India
关键词
Swarm Intelligence; Data Mining; Medical; Healthcare; AUTOMATIC DETECTION; NEURAL-NETWORK; OPTIMIZATION; SEGMENTATION; ALGORITHM;
D O I
10.1145/3339311.3339323
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Healthcare industry is evolving at a rapid pace across the world. Substantial amount of heterogeneous data is generated by healthcare industry. It is crucial for healthcare industries to attain, accumulate and mine the data in an effective manner. Thus, data mining can provide enormous opportunities for diagnosis, prediction and essential treatment. Data mining plays imperative role in the medical domain that facilitates the systems to analyze the massive data, so that finest practices can be applied for further research and evaluating the patients' reports. This paper explores various applications that employ Swarm Intelligence with data mining in healthcare in terms of methods and results obtained. Swarm Intelligence algorithms have been used for prognosis of major diseases like cancer, heart diseases, tumors, and cardiology. The Swarm Intelligence approaches have been applied in the areas of disease diagnosis and treatment.
引用
收藏
页数:7
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